DCEmgmt: DCEmgmt function

In DCEmgmt: DCE Data Reshaping and Processing

Description

Prepare the results of a DCE to be analysed through choice models.

Usage

DCEmgmt(data, droprow, keepvar, create.id, blocks, sets, alts, options, design)

Arguments

data	Data.frame with the survey data in wide data format. See 'data(survey)'
droprow	Rows to be deleted. Specify a single row (droprow = x) or more than one (dropdown = x:y).
keepvar	Select the case-specific variables to be kept. For example: keepvar = c("x", "y").
create.id	Create a variable called "id" with a unique identificator per respondent. create.id = TRUE
blocks	Specifies the variables designating each choice set block. Each choice set variable must be named as a letter (for instance Q) followed by a number (starting by 1). Thus, the first block of choice sets can be named Q1, Q2, Q3, Q4 whereas the second can be called F5, F6, F7, F8. In this case, block = c("Q", "F"). If there is only one block, block = c("Q").
sets	Specify the number of choice sets per block. If there is only one block, specify the total number of choice sets. For instance, sets = 8.
alts	Specify the number of alternatives per choice set. For example, alts = 3.
options	Vector indicating the string used to designate the choice. For example, option = c("Option A", "Option B", "Option C"). See examples.
design	Data frame with the design matrix in dummy or effects coding. PONER EJEMPLO

Examples

data(survey)
data(design)

data.c<-DCEmgmt(data = data,
        droprow = 1:5,
        keepvar = c("age", "height"),
        create.id = TRUE,
        blocks = c("B1_", "B2_"),
        sets = 8,
        alts = 2,
        options = c("Prefiero el servicio A", "Prefiero el servicio B"),
        design = design)

#The data frame data.c contains the coded DCE data

DCEmgmt documentation built on Oct. 26, 2021, 9:06 a.m.